Parallel processing: principles and practice
Parallel processing: principles and practice
Parallelism and programming in classifier systems
Parallelism and programming in classifier systems
Probabilistic parallel programming based on multiset transformation
Future Generation Computer Systems
Weakly connected neural networks
Weakly connected neural networks
Swarm intelligence: from natural to artificial systems
Swarm intelligence: from natural to artificial systems
How to solve it: modern heuristics
How to solve it: modern heuristics
Swarm intelligence
A new kind of science
An Behavior-based Robotics
Artificial Immune Systems: A New Computational Intelligence Paradigm
Artificial Immune Systems: A New Computational Intelligence Paradigm
Computer
Proceedings of the Third International Workshop on Ant Algorithms
ANTS '02 Proceedings of the Third International Workshop on Ant Algorithms
Cellular Automata: A Discrete Universe
Cellular Automata: A Discrete Universe
Agent-Based Hybrid Intelligent Systems
Agent-Based Hybrid Intelligent Systems
Software Engineering for Multi-Agent Systems II
Software Engineering for Multi-Agent Systems II
Multi-agent development toolkits: an evaluation
IEA/AIE'2004 Proceedings of the 17th international conference on Innovations in applied artificial intelligence
A stabilizing solution to the stable path problem
SSS'03 Proceedings of the 6th international conference on Self-stabilizing systems
Proceedings of the 3rd international conference on Multi-agent-based simulation II
MABS'02 Proceedings of the 3rd international conference on Multi-agent-based simulation II
Cooperating sensory agents for detecting temporal consistency among events
PDCN'07 Proceedings of the 25th conference on Proceedings of the 25th IASTED International Multi-Conference: parallel and distributed computing and networks
A Multi-agent Approach for Range Image Segmentation
CEEMAS '07 Proceedings of the 5th international Central and Eastern European conference on Multi-Agent Systems and Applications V
An Agent-Based Approach for Range Image Segmentation
Massively Multi-Agent Technology
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This paper describes a multiagent-based simulation paradigm, for hybrid (soft and hard) simulation of complex dynamical systems. The computations are interpreted as the outcome arising out of deterministic, nondeterministic or stochastic interaction among the agents, which includes the environment. These interactions are like chemical reactions and the evolution of the multiset of agents can mimic the evolution of the complex system, e.g. genetic, nature inspired self-organized criticality and active walker (swarm and ant intelligence) models. Since the reaction rules are inherently parallel, any number of actions can be performed cooperatively or competitively among the subsets of the agents, so that the system evolve reaches an equilibrium (or a chaotic or an emergent) state. Practical realisation of this paradigm is achieved through a coordination programming language using Multiagent and transactions.